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How Science and Music Blurred Politics One Day Back Home
What to expect when you talk and play music to people you grew up with but have not seen for decades and have different political views from you. Turns out it was fabulous.
How Science and Music Blurred Politics One Day Back Home
What to expect when you talk and play music to people you grew up with but have not seen for decades and have different political views from you. Turns out it was fabulous.
UNESCO places science and knowledge at the heart of recovery efforts
At the Ukraine Recovery Conference (URC) 2026, held in Gdańsk, Poland, on 25–26 June, UNESCO announced a new package of support of over EUR 2,5 million to help rebuild Ukraine’s scientific and
Braille is literacy: Rice researchers are reshaping the science of reading
As schools across the country increasingly embrace evidence-based approaches to reading instruction through the science of reading, two Rice researchers are leading an effort to ensure students who learn through braille are not left out of the research shaping literacy education.
OHSU advances massive leap in medical science with cellular therapies
Patients are benefiting from CAR-T to treat neurodegenerative diseases, cancer, lupus and other autoimmune conditions.
Should “Success” in Science Be Measured Differently?
Publication volumes are one of the main ways that success is measured for researchers today. From mentorship to real-world impact, scientists argue that “publish or perish” pressures overlook many of the contributions that drive discovery forward.
Small Creatures, Big Mission: NMHM Bugapalooza 2026 Connects Science and Military Readiness
Mosquitoes, ticks, flies, and pollinators drew a crowd at the National Museum of Health and Medicine's Bugapalooza on June 13. Nearly 400 visitors attended the annual event to explore the world of insects through hands-on activities, exhibits, and conversations with military and civilian experts.
Science Heroes: Digging It at Groton Public Library
Unearth your love for science in this fun and interactive S.T.E.M. show for the whole family. With help from audience volunteers, we’ll conduct exciting experiments about the changing states of […]
The Science Of Speed: How Mizuno’s Nanoalloy Face Changes What’s Possible In Driver Design
Mizuno is the first company to put a functional polymer layer in front of a driver face. The implications go well beyond ball speed. For most of the
Federal AI security center measure advanced by House Science
A measure that would put into law a key federal office focused on artificial intelligence advanced Thursday out of the House Science, Space and Technology Committee, as part of a slate of AI-focused and data center bills. The committee advanced the bills on a bipartisan basis, but put off potential changes regarding funding levels for […]
French people are painting chalk on their windows in the heat
A simple, low-tech remedy may help cool homes. Here's the science behind the trend.
Opinion | Don't apply politics to scientific research
Under recently proposed rules, federal grants could be terminated midstream for reasons having little to do with science or merit.
The heatwave hacks that will actually help to keep you cool
Should you wear wet socks to bed or point a fan out the window? Can the ‘Japanese door fan’ technique cool a baking hot car? Here’s what the science says
Parasite Affecting 1 in 3 People Is a Serious Risk to Human Health, Scientists Warn
More needs to be done.
Proposed Changes to Grant Rules Threaten the Future of Research: Scientists Must Act Now!
The Trump administration is seeking to politicize US federal science funding, but collective action can stop this grantpocalypse from happening.
How to manage public investment in science with balance
Public debt is higher today and growing at a faster rate than before the pandemic in 80% of the world's economies. According to the latest fiscal report from the International Monetary Fund, global public ...
Generative artificial intelligence creates delicious, sustainable, and nutritious burgers
npj Science of Food - Generative artificial intelligence creates delicious, sustainable, and nutritious burgers
Discussing progress in nuclear fuel and materials science
The NEA held the sixth annual week of collaborative meetings of the Working Party on Materials Science Issues in Nuclear Fuels and Structural Materials (WPFM) from 18-22 May 2026 at the NEA offices in Boulogne-Billancourt, France.
Dopant-localized mechanoluminescence in simple oxides
Light: Science & Applications - Dopant-localized mechanoluminescence in simple oxides
AI designs the ideal burger for taste, health, and planet
Stanford researchers developed an AI tool that creates novel burger recipes optimized for individual preferences. The implications for science go well beyond food.
Discovery Education Earns Five 2026 CODiE Award Nominations Spanning Math, Science, Digital Citizenship, and Immersive Learning
Discovery Education Earns Five 2026 CODiE Award Nominations Spanning Math, Science, Digital Citizenship, and Immersive Learning
Priscilla Chan on science, disease prevention and the future of medicine
CNBC's Becky Quick sits down for a conversation with Dr. Priscilla Chan, co-founder of Biohub, at Aspen Ideas: Health.
Distrust In Science Isn't New: We Mistook Silence For Trust
Distrust in medicine and science isn't a new crisis. Drawing on decades in communities, a physician explains the real source and how we earn trust.
Kentucky State hosts students for agriculture and health science camp
Students from across the country are at Kentucky State University for a summer program focused on agriculture, health and environmental science.
Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
Inside the Oregon coast's hands-on marine science center
The Charleston Marine Life Center offers touch tanks, whale skeletons and hands-on exhibits while connecting visitors with marine science on the Oregon coast.
New science on algae die-offs is too late for the Reflecting Pool
Iron and hydrogen peroxide trigger cell death via ferroptosis, which cascades killer molecules through the population, causing mass die-offs of algae.
Climate Attribution Conference Explores Science, Law and Accountability
Speakers explored how climate attribution research is shaping lawsuits, policy and public health.
NASA Selects Rocket Lab to Launch Sun, Earth Science Missions
NASA has selected Rocket Lab to provide the launch service for both the agency’s PolSIR (Polarized Submillimeter Ice-cloud Radiometer) and Total and Spectral Solar Irradiance Sensor-2 (TSIS-2) missions.
This week in science: Exoplanetary salt clouds, ancient families and laughter's origin
Hosts from NPR's science podcast Short Wave talk about an exoplanet with pink, salty clouds, the surprising social structure of ancient human relatives and the origins of laughter.
Merck KGaA to Acquire Bio-Techne for $11.3B, Expanding Life Science Tools Presence
Merck KGaA, Darmstadt, Germany, has agreed to acquire Bio-Techne for approximately $11.3 billion, the companies said today, in a deal designed to position the buyer as more of a leader across the life science value chain by expanding its presence in high-growth, next-generation life-sci markets with Bio-Techne’s tools, analytical technologies, and consumables.
Bio-Techne, a Minneapolis life sciences firm with 500,000 products, to be sold to German company for $11.3 billion
Microsoft Discovery Aims To Advance The Era Of Agentic Science
The cloud-based agentic AI platform aims to help human researchers overcome resource constraints and complex data challenges to accelerate science at scale.
Smile spacecraft reaches science orbit
The European-Chinese Smile mission reached its designated science orbit on June 20, 2026. The team is now embarking on a two-month campaign to commission the spacecraft, which involves switching on and ...
Life Aboard the Langseth: A Q&A With Chief Science Officer Cody Bahlau
On Columbia’s global research vessel, the R/V Marcus G. Langseth, Bahlau serves as the key link between scientists, crewmembers and operations on shore.
This Simple Trick Can Make Your Coffee Taste Way Better, Says Physics
If you love pour-over coffee it could serve you well to change how you pour.
Sofia Elverdin Selected as Co-Recipient of the Best Dissertation Prize From the American Political Science Association’s Women, Gender and Politics Section
Sofia Elverdin, assistant professor of politics at Washington and Lee University, was recently selected as a co-recipient of the American Political Science Association’s (APSA) Best Dissertation Pr…
Misericordia University Students Earn Top Honors at Pennsylvania Academy of Science's 101st Annual Meeting
Misericordia University students earned multiple prestigious awards while showcasing undergraduate research at the 101st Annual Meeting of the Pennsylvania Academy of Science (PAS), held this year on the Misericordia University campus—the first time the statewide scientific organization has hosted its annual conference at the university.
What Happens When You Throw a Paper Plane From Space? These Physicists Found Out
A simulated A4 paper plane takes a death dive from the ISS for science.
Short-form science: University of Washington researchers launch PaperTok to combat AI slop
A University of Washington team is helping scientists tell their own stories with a free tool that converts dense, jargon-heavy publications into short, accessible videos.
Q&A: What does science say about plants as medicine?
Plants have always played an integral role in traditional medicine and healing practices, according to Kent Vrana, Elliot S. Vesell Professor of Pharmacology at Penn State College of Medicine…
Rogers Computer Science Teacher Named Tops in the State
Instructor and coach, Anthony Hanos with members of the cyber security program, students Brandon Wilson, Kerian Santiago and Alex Bettencourt. The sister sectors of computer science, information technology and cybersecurity, continue to be among the fastest growing industries in the country, according to the U.S. Bureau of Labor Statistics. Luckily, Newport area high schoolers interested
Merck KGaA bolsters life sciences business with $11.3B Bio-Techne buy
The deal comes a matter of weeks after Kai Beckmann was promoted to CEO at Merck and signalled his intent to broaden the company's scope for M&A.
This weekend in Clarksville: Science guy, rodeo, Nunsense, ‘How to Train Your Dragon’
From science to fantasy, from rodeo to religion, there's a range of stuff going on in Clarksville this weekend.
Proposed CDC science office could tighten political control at agency
Under President Trump, political leaders are exerting more control across federal health agencies.
Mars Meets The Seven Sisters, In Astronomical Event You Won't See Again Until 2034
Mars meets the Pleiades this weekend, the subject of what may be humanity's oldest story.
Tech: House Science advances AI bills
The House Science Committee advanced a bipartisan bill that would codify increasingly prominent artificial intelligence oversight work being done by the Commerce Department.
MIT in the media: Exploring how curiosity-driven science is an essential ingredient in America’s success
“Scientific American” showcases the history and future of America’s scientific engine, highlighting promising young scientists and icons at MIT and beyond.
New Health Sciences Provost Named
Wake Tech Community College is pleased to announce that Dr. Jennifer Bray has been selected as the next Provost of the Perry Health Sciences Campus.
The science of fatherhood from brain changes to ‘dad bod’
Darby Saxbe’s book combines academic data with ‘stories about the men in her own life’
Waterloo's Grout Museum District to demolish its Bluedorn Science Imaginarium amid funding changes
This summer, the Grout Museum District is preparing to demolish its former science center, the Bluedorn Science Imaginarium. The decision was made in the face of funding uncertainty stemming from property tax reform in Waterloo.
Another look at carrots and eyesight; how to get more fiber; why mosquitoes bite some people and not others; plus other stories with Vanderbilt Health sources
AARP reporter Stacey Colino interviewed Milam Brantley, MD, Associate Professor of Ophthalmology and Visual Sciences, in 2020 for a story about whether eating carrots can improve vision. Sacramento Bee reporter Samantha Agate has now used Brantley’s comments in an AI-curated story created by content specialists on the same topic that has been picked up by MSN and others. Prevention magazine interviewed Heidi Silver, RD, PhD, Founding Director of the Vanderbilt Diet, Body Composition, and Human Metabolism Core, for a story about the importance of fiber and how people can get more of it in their diet. William Schaffner, MD, Professor of Preventive Medicine, was quoted by several news outlets about public health issues, including: Women’s Health (tick bites and alpha-gal syndrome); The Washington Post (tetanus); and Healthline (why mosquitoes prefer to bite some people and leave others alone). A visit to Monroe Carell Jr. Children’s Hospital at Vanderbilt by some Banana Ball baseball players was covered by The Tennessean and WZTV Fox 17 News, and The Tennessean’s story was also picked up by Yahoo! Sports. Clarksville Now published a story written by the Montgomery County Economic Development Team, whointerviewed Bradley Stancombe, MD, professor of Clinical Pediatrics, Vanderbilt Neonatology, about the new energy of Vanderbilt Clarksville Hospital and how the facility is recruiting physicians. Healio Allergy/Asthma group editorial director Richard Gawel interviewed Mark Rolfsen, MD, Clinical Fellow in the Division of Allergy, Pulmonary and Critical Care Medicine, for a story about his presentation at the American Thoracic Society meeting on metal health outcomes following ICU discharge. Nashville Scene reporter Hannah Herner interviewed James Crowe, MD, Director of the Vanderbilt Center for Antibody Therapeutics, for a story about his efforts to prepare for the next pandemic by isolating antibodies that can neutralize dangerous viruses. Medscape reporter Kathleen Doheny interviewed Neesha Choma, Associate Chief of Staff of Vanderbilt University Hospital, for a story about how hospitals can reduce readmissions.
York, Community Unite for Hands-On Environmental Science Journey
A group of students, faculty, and Southeast Queens residents recently traveled from the York College campus to the waterfront campus of Kingsborough Community College (KCC) in the Manhattan Beach neighborhood of Brooklyn to set sail in the Research Vessel CUNY1 on Jamaica Bay, and to explore a part of the Hudson Raritan Estuary system.
A new vision for quantum computing takes a big step forward, with new grant
A $4 million National Science Foundation grant will propel the next phase of a Yale-led project to build a quantum computer with an innovative new design.
Psychedelic Science 2027 Speaker Submission Invites the Field to Bridge Promise and Practice
Psychedelic Science 2027 (PS27) convenes May 3–7, 2027, at the Colorado Convention Center in Denver under the theme “Bridging Promise & Practice”PS27’s speaker submission is now open through Friday, September 18, with no planned extensionsPS27 welcomes proposals across science, therapy, policy, culture, industry, the humanities, spirituality, connected movements, and the wisdom traditions that have carried this work for generations DENVER, June 25, 2026 (GLOBE NEWSWIRE) -- The Multidisciplinary
Ohio State–led team secures NSF award to advance to next phase of the National Quantum Virtual Laboratory program
The Ohio State University is strengthening its growing prominence in quantum science, technology, and education with a $4 million, two‑year Phase II design award from the U.S. National Science Foundation (NSF) to advance a national effort focused on next‑generation quantum sensing.The funding is helping to bring together top researchers and ...
Merck KGaA to buy Bio-Techne for $11.3bn in life science footprint expansion
The deal is Merck’s largest since 2015, when it spent $17bn on acquiring Sigma-Aldrich, also a life sciences specialist.
Keith Flaherty: Translating Science into Medicine
Keith Flaherty: Translating Science into Medicine / American Association for Cancer Research, cancer, Keith Flaherty, Massachusetts General Hospital,
Living with a cat: the mental health impact scientists are only now discovering - Futura-Sciences
A Surprising Connection Between Cats and Schizophrenia? An Australian study has revealed an unexpected link between cat ownership and the risk of developing schizophrenia. Researchers analyzed 17 studies conducted over 44 years, spanning 11 different countries. Their conclusion? Living with a cat could actually double your risk of developing schizophrenia-related...
Moody Center announces exhibition exploring math, science and tech rooted in Indigenous knowledge systems
Through a framing of North, Central and South America as interconnected regions, “Radiant Geometries: Vectors of Knowledge from the Indigenous Americas” brings together contemporary Indigenous and Latin American artists whose practices illuminate knowledge as a living technology, through which the mathematical, metaphysical and artistic realms converge.
Scientists discover how a single cell builds a brain with 170 billion cells
How does a single cell build a brain with billions of precisely organized neurons? Researchers suggest that brain cells use their lineage—their cellular family tree—as a kind of positional map. Cells that come from the same ancestor stay near one another, helping the brain organize itself without relying solely on chemical signals.
FDA-approved drug may finally help immunotherapy defeat rare liver cancer
Researchers found that a rare liver cancer evades immunotherapy by luring immune T cells away from the tumor and trapping them in nearby fibrous tissue. An FDA-approved drug called AMD3100 freed those T cells to attack the cancer, significantly improving the effectiveness of immunotherapy in tumor samples.
Merck Expands Life Science Leadership with Planned $11.3 Billion Bio-Techne Acquisition
Merck Expands Life Science Leadership with Planned $11.3 Billion Bio-Techne Acquisition
Ebola response highlights value of African science
With African scientists leading the way in the latest Ebola response, Catherine Kyobutungi makes the case for long-term investment.
How should European scientists respond to the US AI kill switch?
Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.
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